TY - GEN
T1 - Linking plant strategies (CSR) and remotely sensed plant traits
AU - Kattenborn, Teja
AU - Lopatin, Javier
AU - Fassnacht, Fabian
AU - Schmidtlein, Sebastian
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/28
Y1 - 2016/6/28
N2 - The widely established CSR-model quantitatively groups plants according to their ecological response, i.e. competitiveness, stress-toleration and ruderality. These plant strategies are allocated using plant traits. We assess the potential of canopy traits derived by imaging spectroscopy and inverted radiative transfer models for allocating CSR-scores. Our findings indicate that plant traits (LAI, Cab, Car and SLA) are valuable 'soft traits' to map plant strategies.
AB - The widely established CSR-model quantitatively groups plants according to their ecological response, i.e. competitiveness, stress-toleration and ruderality. These plant strategies are allocated using plant traits. We assess the potential of canopy traits derived by imaging spectroscopy and inverted radiative transfer models for allocating CSR-scores. Our findings indicate that plant traits (LAI, Cab, Car and SLA) are valuable 'soft traits' to map plant strategies.
KW - CSR
KW - PROSAIL
KW - Plant traits
KW - RTM
UR - http://www.scopus.com/inward/record.url?scp=85037540860&partnerID=8YFLogxK
U2 - 10.1109/WHISPERS.2016.8071809
DO - 10.1109/WHISPERS.2016.8071809
M3 - Conference contribution
AN - SCOPUS:85037540860
T3 - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
BT - 2016 8th Workshop on Hyperspectral Image and Signal Processing
PB - IEEE Computer Society
T2 - 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2016
Y2 - 21 August 2016 through 24 August 2016
ER -